Latest additions to the knowledge base

The latest additions to the PreventionWeb knowledge base. New content is monitored and added on a daily basis. Filter your search results by year, content type, location, theme and hazard, or explore further sections of the knowledge base.

Shepherd leading a flock of goats in a sandy and dusty environment in Africa.
A record-breaking drought, fueled by the El Niño weather pattern, has caused widespread crop failure and national emergency declarations in Zambia, Malawi, and Zimbabwe. Without harvests of maize, millions in the region are facing a severe hunger crisis.
Yale Environment 360
The Climate Investment Funds’ resilience programming helped build or rehabilitate more than 12,000 units of small-scale infrastructure and almost 3,000 km of roads. A new Results Deep Dive publication looks into what was delivered in 15 countries.
Climate Investment Funds
Research briefs
Researchers are calling for comprehensive water management to address groundwater floods effectively. Notably, this is the third time that Science has published a paper related to the karst eco-environment in southwest China.
Chinese Academy of Sciences
Deaths from disasters have fallen, but we need to build even more resilience to ensure this progress doesn’t reverse.
Our World in Data (OWID)
Flash flooding has been described as the main environmental risk to people living in the capital by the Greater London Authority (GLA). One solution put forward is that London should become a "sponge city".
British Broadcasting Corporation (BBC)
As Kazakhstan and parts of Russia grapple with severe flooding due to rapid and unusually early snowmelt and heavy rainfall, the stark reality of climate change impacts becomes increasingly undeniable.
Modern Diplomacy
Heat-related deaths will jump more than 60 per cent by 2050 in the city of Perth if temperatures continue to climb, according to modelling done for the WA Department of Health.
Australian Broadcasting Corporation
Documents and publications
This study proposes a high tide flood (HTF) thresholding system that leverages machine learning (ML) techniques to estimate SLR and HTF thresholds at a relatively fine spatial resolution (10 km) along the United States’ coastlines.

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